dkyazzentwatwa/chatgpt-skills

image-enhancement-suite

Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets. Use for single-image or batch image workflows.

First seen Jan 24, 2026

Installation

$ npx skills add dkyazzentwatwa/chatgpt-skills --skill image-enhancement-suite

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from dkyazzentwatwa/chatgpt-skills · top by installs.

npx skills add dkyazzentwatwa/chatgpt-skills

Browse all from dkyazzentwatwa/chatgpt-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Also listed on

Alternate registries and mirrors of this skill.

Repository health

Stars 99
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,325 B
  • docs SUMMARY.md 185 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 280 installs

SKILL.md

Image Enhancement Suite

Use this as the primary image toolkit. It now includes the repo's background removal, metadata, comparison, filter, palette, icon, collage, and sprite helpers.

Use This For

  • Resize, crop, watermark, compress, and format conversion
  • Background removal and quick cleanup
  • Image comparisons and metadata inspection
  • Palette extraction, icon generation, collages, and sprite sheet assembly

Workflow

  1. Start with scripts/image_enhancer.py for general-purpose image work.
  2. Use focused helpers when the task is narrow:

- backgroundremover.py - imagecomparison.py - imagemetadata.py - imagefilter.py - colorpaletteextractor.py - icongenerator.py - collagemaker.py - spritesheetgenerator.py

  1. Prefer batch operations only when the same transforms should be applied consistently.

Guardrails

  • Preserve originals when quality tradeoffs are uncertain.
  • Say when a background removal or smart crop is heuristic, not exact.
  • Use vector output or SVG-oriented tooling when the request is really illustration, not raster editing.